Find Jobs Find Talent
Sr. Associate Data Engineer - Azure
Houston, Texas  |  Remote
Contract Position
It appears that you have already applied to this job.
Applied on July 4, 2022
Job Id #55700 Posted April 14, 2022

Onsite in Houston - 3 days a week


Senior Associate Data Engineering (Azure)


This is a hands-on, Data Engineer position within our North American team. This position will collaborate within a team of technologists to produce enterprise scale data platforms for our clients’ needs. Our teams work on the latest data technologies in the Azure space including Azure Synapse, Data Lake, Data Bricks, Spark, etc.


Primary Responsibilities:

• Owning the technical solution and ultimate success of capabilities.

• Defining implementation architectures, developing a deep expertise in both business process and employed technologies, and obtaining a broad know-how around the existing application and service landscape.

• Being a subject matter expert on areas as they related to customers, agents, and internal employee applications. This includes data modelling, star schema design, ETL development, etc.

• Deliver quality work on defined tasks with little oversight and direction.

• Ensure all deliverables are of high quality throughout the project by adhering to coding standards and best practices and participating in code reviews.

• Participate in integrated test sessions of components and subsystems on test and production servers.

• Serve as an architect and provide guidance during software development life cycle to solve business issues through the process of identifying and analyzing detailed requirements that translate into data integration and database system designs.

• Solve business issues through the process of identifying and analyzing detailed requirements that translate business requirements into technical system designs.

• Use information gained through prior experience, knowledge sharing with other Technology Associates, education and training to resolve issues and remove project barriers

• Provide status updates to team members on a regular basis and clearly escalate issues and risks to project management as needed.


Required Skills and Experience:

• 5+ years in a data engineering role with demonstrable experience with data integration and data warehouse projects.

• Experience in column-oriented database technologies (i.e. Synapse, Big Query, Redshift, Vertica, etc.) and traditional database systems (SQL Server, Oracle, MySQL, etc.)

• Experience in data integration automation via Azure Data Factory

• Experience architecting solutions in the cloud. Must have deep knowledge in data technologies in Azure

  • Experience with ML and/or AI services (i.e. Azure ML, Tensorflow, etc.)

• Experience with data modeling, warehouse design, and fact/dimension concepts.

• Experience architecting and building data marts, warehouses, etc.

• Experience working with different query languages (i.e. PL-SQL, T-SQL).

• Understanding of development and project methodologies.

• Ability to work collaboratively in teams with other specialized individuals.

• Able to work in a fast-paced, technical environment.

• Good verbal and written communication skills.


Your Skills & Experience:

  • Demonstrable experience in data platforms involving implementation of end to end data pipelines
  • Good communication and willingness to work as a team
  • Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud) 
  • Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
  • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
  • Ability to handle module or track level responsibilities and contributing to tasks “hands-on”
  • Experience in data modeling, warehouse design and fact/dimension implementations
  • Experience working with code repositories and continuous integration



Set Yourself Apart With:


  • Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
  • Understanding of development and project methodologies
  • Willingness to travel

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact

All applicants applying must be legally authorized to work in the country of employment.


What is your gender?

What is your ethnicity?

What is your Veteran / U.S. Military Status?

Do you identify with one or more of the classifications of protected veterans below?

If yes, please indicate by checking the appropriate box below

Do you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


You have saved your first job! To see all your Saved Jobs, click here. Or continue scrolling through jobs and bookmark openings that catch your eye and apply for those jobs later.

Return to Job Search

We’re sorry!

There are currently no open positions in your location or accepting applications from out of the country

Return to Home
Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.